Difference between the Cross Validated and Data Science SE sites?

The site description of Cross Validated says: Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization And the site description of the Data Science SE site says: Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. But, as ML is already a topic in CV, there are significant overlaps in the questions. Example: 1. Using monthly product usage data to predict customer churn Modeling customer churn – Machine learning versus hazard/survival models And there are a plenty of such similar questions. So, is a separate site (Data Science SE) required, when majority of the questions are on-topic in the CV…